FacialMMT
This repo contains the data and pretrained models for FacialMMT, a framework that uses facial sequences of real speaker to help multimodal emotion recognition.
The model performance on MELD test set is:
| Release | W-F1(%) |
|---|---|
| 23-07-10 | 66.73 |
It is currently ranked third on paperswithcode.
If you're interested, please check out this repo for more in-detail explanation of how to use our model.
Citation
Please consider citing the following if this repo is helpful to your research.
@inproceedings{zheng2023facial,
title={A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations},
author={Zheng, Wenjie and Yu, Jianfei and Xia, Rui and Wang, Shijin},
booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={15445--15459},
year={2023}
}